Department of Health Management and Policy and Center for Outcomes Research, College for Public Health and Social Justice, Saint Louis University, St. Louis, Missouri.
Department of Health Administration, College of Health Professions, Virginia Commonwealth University, Richmond, Virginia.
Health Serv Res. 2020 Jun;55(3):445-456. doi: 10.1111/1475-6773.13272. Epub 2020 Feb 9.
To identify patient social risk factors associated with Continuity of Care (COC) index.
DATA SOURCES/STUDY SETTING: Medicare Current Beneficiary Survey (MCBS), the Dartmouth Institute, and Area Resource File for 2006-2013.
We use regression methods to assess the effect of patient social risk factors on COC after adjusting for medical complexity. In secondary analyses, we assess the effect of social risk factors on annual utilization of physicians and specialists for evaluation and management (E&M).
DATA COLLECTION/EXTRACTION METHODS: We retrospectively identified 59 499 patient years for Medicare beneficiaries with one year of enrollment and three or more E&M visits.
After adjustment for medical complexity, individual-level social risk factors such as lack of education, low income, and living alone are all associated with better patient COC (P < .05). Similarly, area-level social risk factors such as living in areas that are nonurban or high poverty, as well as in areas with low specialist or high primary care physician supply, are all associated with better patient COC (P < .05). We found the opposite pattern of associations between these same risk factors and annual patient utilization of physicians and specialists (P < .05).
Medicare patients with multiple social risk factors have consistently better COC; these same social risk factors are associated with reduced patient-realized access to specialist physician care.
确定与连续护理(COC)指数相关的患者社会风险因素。
资料来源/研究地点:2006-2013 年,医疗保险当前受益人调查(MCBS)、达特茅斯研究所和区域资源文件。
我们使用回归方法来评估患者社会风险因素对调整医疗复杂性后 COC 的影响。在二次分析中,我们评估了社会风险因素对年度医生和专家评估和管理(E&M)就诊利用的影响。
资料收集/提取方法:我们回顾性地确定了 59499 名医疗保险受益人的患者年数,这些患者有一年的入组和三次或更多次 E&M 就诊。
在调整医疗复杂性后,个体层面的社会风险因素,如缺乏教育、低收入和独居,都与更好的患者 COC 相关(P<.05)。同样,地区层面的社会风险因素,如居住在非城市或高贫困地区,以及在专家或初级保健医生供应低的地区,也与更好的患者 COC 相关(P<.05)。我们发现,这些相同的风险因素与患者对医生和专家的年度利用之间存在相反的关联模式(P<.05)。
有多种社会风险因素的医疗保险患者的 COC 始终较好;这些相同的社会风险因素与患者实现专科医生护理的机会减少有关。